International Journal of Scientific Research and Engineering Development

In today’s digital world, companies receive a very large number of job applications for each job opening. Manually reviewing all these resumes takes a lot of time and effort, and it may also lead to human errors or bias. To solve this problem, organizations are increasingly using Artificial Intelligence (AI) to automate the resume screening process. An AI-based resume screening system uses Natural Language Processing (NLP) and Machine Learning (ML) to read, understand, and evaluate resumes automatically. NLP helps the system understand human language written in resumes, such as skills, education, work experience, and achievements. Machine Learning allows the system to learn from past hiring data and identify patterns that indicate a strong candidate. The system first collects resumes and job descriptions. It then extracts text from resumes, cleans the data, and identifies important information such as technical skills, job roles, and years of experience. This information is converted into numerical form so that ML algorithms can process it. The trained model compares the resume data with job requirements and gives each candidate a score based on how well they match. The system then ranks candidates, helping recruiters quickly shortlist the most suitable applicants.

Avantika Vikas Meshram,"AI-Based Resume Screening System Using NLP and Machine Learning" International Journal of Scientific Research and Engineering Development, V9(2): Page(1963-1967) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.